Volume 45 Issue 2
Apr.  2017
Turn off MathJax
Article Contents
Abstract
References
Related Articles
YUAN Kekuo. Improved particle swarm optimization and parameter inversion in internal variable constitutive model[J]. COAL GEOLOGY & EXPLORATION, 2017, 45(2): 112-117. DOI: 10.3969/j.issn.1001-1986.2017.02.020
Citation: YUAN Kekuo. Improved particle swarm optimization and parameter inversion in internal variable constitutive model[J]. COAL GEOLOGY & EXPLORATION, 2017, 45(2): 112-117. DOI: 10.3969/j.issn.1001-1986.2017.02.020
shu

Improved particle swarm optimization and parameter inversion in internal variable constitutive model

  • Xi'an Research Institute, China Coal Technology and Engineering Group Corp., Xi'an 710077, China

Funds: 

National Natural Science Foundation of China(51404295)

More Information
  • Received Date: February 29, 2016
  • Published Date: April 24, 2017
    Graphical Abstract
    • Abstract
  • In order to extend back analysis means and improve the efficiency and accuracy, an improved particle swarm optimization(PSO) with variable inertia weight and synchronous changing learning factor was carried out and the program was completed, the advantage of the enhanced method was tested by Sphere and Rastrigrin functions. Then, a back analysis program GeoPSOInverse.m was developed by the software MATLAB, in which the finite element code of ABAQUS was embedded. At last, the parameters of creep constitutive model of a mudstone with irreversible strain as variable and implicit time in formula were back analysied. The results show that this improved PSO method is a very good inverse analysis method and its efficiency is quite good, and can be proceeded in practical application for complex engineering.
    • FullText(HTML)
    • References (17)
  • [1]
    GIODA G,SAKURAI S.Back analysis procedures for the interpretation of field measurements in geomechanics[J]. Int J Numerical Analytical Methods Geomechanics,1987,11:555-583.
    [2]
    杨林德.岩土工程问题的反演理论与工程实践[M].北京:科学出版社,1999.
    [3]
    李守巨,刘迎曦,孙伟. 智能计算与参数反演[M]. 科学出版社,2008:48-65.
    [4]
    冯夏庭,张治强,杨成祥,等. 位移反分析的进化神经网络方法研究[J]. 岩石力学与工程学报,1999,18(5):529-533.

    FENG Xiating,ZHANG Zhiqiang,YANG Chengxiang,et al. Study on genetic-neural network method of displacement back analysis[J]. Chinese Journal of Rock Mechanics and Engineering,1999,18(5):529-533.
    [5]
    高玮,郑颖人. 一种新的岩土工程进化反分析算法[J]. 岩石力学与工程学报,2003,22(2):192-196.

    GAO Wei,ZHENG Yingren. New evolutionary back analysis algorithm in geotechnical engineering[J]. Chinese Journal of Rock Mechanics and Engineering,2003,22(2):192-196.
    [6]
    李宁. 粒子群优化算法的理论分析与应用研究[D]. 武汉:华中科技大学,2006.
    [7]
    贾善坡,伍国军,陈卫忠. 基于粒子群算法与混合罚函数法的有限元优化反演模型及应用[J]. 岩土力学,2011,32(增刊2):598-603.

    JIA Shanpo,WU Guojun,CHEN Weizhong. Application of finite element inverse model based on improved particle swarm optimization and mixed penalty function[J]. Rock and soil mechanics,2011,32(S2):598-603.
    [8]
    苏国韶,张克实,吕海波. 位移反分析的粒子群优化-高斯过程协同优化方法[J]. 岩土力学,2011,32(增刊2):510-524.

    SU Guoshao,ZHANG Keshi, LYU Haibo. A cooperative optimization method based on particle swarm optimization and gaussian process for displacement back analysis[J]. Rock and Soil Mechanics,2011,32(S2):510-524.
    [9]
    李金凤,杨启贵,徐卫亚. 基于改进粒子群算法CHPSO-DS的面板坝堆石体力学参数反演[J]. 岩石力学与工程学报,2008,27(6):1229-1235.

    LI Jinfeng,YANG Qigui,XU Weiya. Back analyzing mechanical parameters of rockfill based on modified particle swarm optimization CHPSO-DS[J]. Chinese Journal of Rock Mechanics and Engineering,2008,27(6):1229-1235.
    [10]
    KENNEDY J,EBERHART R. Particle swarm optimiza-tion[C]//Proceedings of the IEEE International Conference on Neural Networks,1995,4:1942-1948.
    [11]
    EBERHART R C,KENNEDY J. A new optimizer using particle swarm theory[C]//Proceedings of the Sixth International Symposium on Micro Machine and Human Science,MHS'95,Nagoya,Japan,1995:39-43.
    [12]
    LANGDON W B,POLI R. Evolving problems to learn about particle swarm and other optimizers[C]//2005 IEEE Congress on Evolutionary Computation,2005,1:81-88.
    [13]
    谢晓锋,张文俊,杨之廉. 微粒群算法综述[J]. 控制与决策,2003,18(2):129-134.

    XIE Xiaofeng,ZHANG Wenjun, YANG Zhilian. Overview of particle swarm optimization[J]. Control and Decision,2003,18(2):129-134.
    [14]
    SHI Y,EBERHART R C. A modified particle swarm optimizer[C]//Proceedings of the IEEE International Conference on Evolutionary Computation,1998:69-73.
    [15]
    ASANGA R,SAMNA K H. Self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients[J]. IEEE Transactions on Evolutionary Computation,2004,3(8):240-255.
    [16]
    张顶学,关治洪,刘新芝. 一种动态改变惯性权重的自适应粒子群算法[J]. 控制与决策,2008,23(11):1253-1257.

    ZHANG Dingxue,GUAN Zhihong,LIU Xinzhi. Adaptive particle swarm optimization algorithm with dynamically changing inertia weight[J]. Control and Decision,2008,23(11):1253-1257.
    [17]
    陈卫忠,袁克阔,于洪丹,等. Boom Clay蠕变特性研究[J]. 岩石力学与工程学报,2013,32(10):1981-1990.

    CHEN Weizhong,YUAN Kekuo,YU Hongdan,et al. Creep behavior of boom clay[J]. Chinese Journal of Rock Mechanics and Engineering,2013,32(10):1981-1990.
    • Related Articles

  • Related Articles

    [1]LIANG Chunmiao, YAO Ningping, YAO Yafeng, PENG Tao. Positioning error compensation of drilling robot arm for coal mine[J]. COAL GEOLOGY & EXPLORATION, 2024, 52(3): 153-163. DOI: 10.12363/issn.1001-1986.23.06.0334
    [2]XI Zhaodong, TANG Shuheng, LIU Zhong, QU Xiaorong, ZHANG Pengbao, SU Yufei, ZHANG Qian. Deep coal reservoirs in the Ningwu Basin: Geothermal field characteristics and their effects on gas-bearing properties[J]. COAL GEOLOGY & EXPLORATION, 2024, 52(2): 92-101. DOI: 10.12363/issn.1001-1986.23.07.0408
    [3]CHEN Shida, HOU Wei, TANG Dazhen, LI Xiang, XU Hao, TAO Shu, LI Song, TANG Shuling. The coupling relationship between the depth effect of coalbed gas content and the formation process[J]. COAL GEOLOGY & EXPLORATION.
    [4]YANG Jinxian, CAI Jipeng. On-line compensation for geomagnetic error while drilling based on magnetic inertial slime mould algorithm[J]. COAL GEOLOGY & EXPLORATION, 2023, 51(11): 169-178. DOI: 10.12363/issn.1001-1986.23.05.0301
    [5]WANG Chengli, CHIKHOTKIN V F, LU Chunhua. Error compensation of measurement while drilling inclinometer[J]. COAL GEOLOGY & EXPLORATION, 2016, 44(4): 147-152. DOI: 10.3969/j.issn.1001-1986.2016.04.028
    [6]LIU Shaowei, FAN Kesong, SHANG Pengxiang. Design and application of temperature compensating element of hollow inclusion stress gauge[J]. COAL GEOLOGY & EXPLORATION, 2014, 42(6): 105-109. DOI: 10.3969/j.issn.1001-1986.2014.06.022
    [7]MA Jianqing, LI Qingchun, WANG Meiding. Stratigraphic absorption-compensation based on the generalized S-transform[J]. COAL GEOLOGY & EXPLORATION, 2010, 38(4): 65-68. DOI: 10.3969/j.issn.1001-1986.2010.04.015
    [8]SU Maoxin, TIAN Gang, LI Shucai, XUE Yiguo. Ground radar frequency compensation and correction technique[J]. COAL GEOLOGY & EXPLORATION, 2010, 38(1): 71-75. DOI: 10.3969/j.issn.1001-1986.2010.01.017
    [9]Sang Shuxun, Liu Huanjie, Li Guizhong, Wei Zhongtao. GENERATION AND ENRICHMENT OF COALBED METHANE GAS YIELD IN EFFECTIVE STAGE AND CONCENTRATION OF COALBED METHANE[J]. COAL GEOLOGY & EXPLORATION, 1997, 25(6): 14-17,37.
    [10]Li Chongru, Chen Guowei. DENSITY CALCULATION AND CALIBRATION OF COMPENSATED DENSITY TOOL[J]. COAL GEOLOGY & EXPLORATION, 1992, 20(4): 52-59.

Catalog

    Get Citation
    PDF
    XML

    Article Metrics

    Article views (83) PDF downloads (8) Cited by()
    Related

    Copyright of website design © Editorial Office of Coal Geology & Exploration 陕ICP备05001372号-6 陕公网安备 61019002002193号

    Address: Editorial Office of Coal Geology & Exploration, No.82 Jinye 1st Rd, High-Tech Zone, Xi'an City, Shaanxi, China

    Tel: 029-81778075 E-mail: ccrimtdzykt@vip.163.com

    Supported by: Beijing Renhe Information Technology Co., Ltd.  Baidu Analytics

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return